ReMiND: Recovery of Missing Neuroimaging using Diffusion Models with Application to Alzheimer's Disease.

Chenxi YuanJinhao DuanNicholas James TustisonKaidi XuRebecca A HubbardKristin A Linn

Published in: medRxiv : the preprint server for health sciences (2023)

Our 3D diffusion model can impute missing structural MRI data at a single designated visit and outperforms alternative methods for imputing whole-brain images that are missing from longitudinal trajectories.

Keyphrases

magnetic resonance imaging
deep learning
depressive symptoms
resting state
electronic health record
convolutional neural network
cross sectional
big data
optical coherence tomography
computed tomography
functional connectivity
magnetic resonance
multiple sclerosis
cerebral ischemia
artificial intelligence